Rapid Field Detection of Moisture Content for Base and Subgrade : Technical Report

Sebesta, Stephen; Taylor, Ross; Lee, Sang Ick

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Rapid Field Detection of Moisture Content for Base and Subgrade : Technical Report

2015-03-01
By Sebesta, Stephen ; Taylor, Ross ; Lee, Sang Ick

File Language:

English

Details

Creators:

Sebesta, Stephen ; Taylor, Ross ; Lee, Sang Ick
Corporate Creators:

Texas A&M Transportation Institute
Corporate Contributors:

United States. Federal Highway Administration ; Texas. Dept. of Transportation. Research and Technology Implementation Office
Subject/TRT Terms:
Publication/ Report Number:

FHWA/TX-15/0-6676-2
Resource Type:

Tech Report
Geographical Coverage:

Texas ; United States
Corporate Publisher:

Texas A&M Transportation Institute
Abstract:

Mixing and compacting soil and flexible base pavement materials at the proper moisture content is critical for obtaining adequate compaction and meeting construction specification requirements. This project sought to evaluate rapid non-nuclear techniques for measuring the moisture content on roadway base and subgrade materials. This report presents results from the final stages of testing in this project, which included 3 non-nuclear approaches, the nuclear gauge for comparison, and the oven dry gravimetric moisture as the reference value. Researchers evaluated each test for bias, precision, and sensitivity, and then scored the devices according to bias, precision, sensitivity, cost, turnaround time, suitability for uncompacted materials, and suitability for compacted materials. With these scoring parameters, the data showed the moisture analyzer most suitable for implementation. The report presents a draft test method for measuring moisture content with the moisture analyzer. The test turnaround time is typically between 15 and 30 minutes.
Format:

PDF
Funding:

Project 0-6676
Download URL:

https://rosap.ntl.bts.gov/view/dot/28767/dot_28767_DS1.pdf
File Type:

[PDF - 2.36 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:3f89a3b3c2b90ec6a5017920e95a3053cd95ed42ef74620046e004658cf18f5f

File Language:

English

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